Metadata-Version: 2.1
Name: condat-gridconv
Version: 0.2
Summary: Convert data from hexagonal pixels to cartesian grid
Author-Email: European XFEL GmbH <da-support@xfel.eu>
Project-URL: Source, https://github.com/European-XFEL/condat-gridconv
Requires-Python: >=3.8
Requires-Dist: numpy
Description-Content-Type: text/markdown

## Hexagonal-cartesian grid conversion

This is an implementation of (part of) the algorithm described in
Condat et al. [*Reversible, fast, and high-quality grid conversions*](https://lcondat.github.io/publis/Condat-TIP-2008.pdf),
IEEE Transactions on Image Processing, vol. 17, no. 5, pp. 679-693, May 2008.
It transforms data sampled on a hexagonal grid, such as an X-ray detector with
hexagonal pixels, into a conventional cartesian lattice.

Specifically, it implements what that paper describes as a Type II fractional
delay filter, with N=2.

This package is based on code written by Andreas Scherz and Rafael Gort. 
